文章基本信息

标题：DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM
本地全文：下载
作者：Dan Munteanu, Severin Bumbaru
期刊名称：Annals of “Dunarea de Jos”
印刷版ISSN：1221-454X
出版年度：2004
卷号：2004
出版社：“Dunarea de Jos” University of Galati
摘要：This paper presents a recommender system for textual documents taken from web (given as bookmarks). The system uses for classification a combination of content, event and collaborative filters and for recommendation a modified Pearson-r algorithm. It uses implicit and explicit feedback for evaluating documents.
关键词：information systems, information analysis, algorithms, machine learning, agents